CausalWan2.2-I2V-A14B-Preview-Diffusers
Built by FastVideo, CausalWan2.2-I2V-A14B-Preview-Diffusers is a 14 billion parameter image-generation model. CausalWan2.2-I2V-A14B-Preview-Diffusers is an open-weights image model with roughly 14 billion parameters.
by FastVideo · 14B parameters
Best for
Ways to use CausalWan2.2-I2V-A14B-Preview-Diffusers in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FastVideo API key. osFoundry discovers CausalWan2.2-I2V-A14B-Preview-Diffusers automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
CausalWan2.2-I2V-A14B-Preview-Diffusers is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run CausalWan2.2-I2V-A14B-Preview-Diffusers
CausalWan2.2-I2V-A14B-Preview-Diffusers runs on a single 16GB consumer GPU (~9 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~34 GB).
CausalWan2.2-I2V-A14B-Preview-Diffusers vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CausalWan2.2-I2V-A14B-Preview-Diffusers
Is CausalWan2.2-I2V-A14B-Preview-Diffusers free to use?
CausalWan2.2-I2V-A14B-Preview-Diffusers is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use CausalWan2.2-I2V-A14B-Preview-Diffusers commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does CausalWan2.2-I2V-A14B-Preview-Diffusers need?
Approximately 9 GB at Q4 quantisation, or 34 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run CausalWan2.2-I2V-A14B-Preview-Diffusers locally?
Yes. CausalWan2.2-I2V-A14B-Preview-Diffusers is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CausalWan2.2-I2V-A14B-Preview-Diffusers best at?
CausalWan2.2-I2V-A14B-Preview-Diffusers is well-suited to image to video.
How do I use CausalWan2.2-I2V-A14B-Preview-Diffusers in osFoundry?
Paste your FastVideo API key in the key dialog (or deploy the open weights for self-hostable models), assign CausalWan2.2-I2V-A14B-Preview-Diffusers to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FastVideo on November 14, 2025. Source: https://huggingface.co/FastVideo/CausalWan2.2-I2V-A14B-Preview-Diffusers